Data Structures by Yaman Singhania - PowerPoint PPT Presentation

About This Presentation
Title:

Data Structures by Yaman Singhania

Description:

Learn Data Structures with Conceptual Clarity. Visit : – PowerPoint PPT presentation

Number of Views:462

less

Transcript and Presenter's Notes

Title: Data Structures by Yaman Singhania


1
Data Structures

Through C/C
  • By

Yaman Singhania
http//www.computercareer.in
2
Introduction to Data Structures
  • What is DATA STRUCTURE?
  • A Data Structure is the way of Organizing the
    data for minimizing the use of memory and for the
    use of updation or it is arranging the data in
    the main memory. In other words, data structures
    are used to store the data or acts as a
    container.
  • Data Structures are basically divided into two
    parts
  • 1). Linear Data Structure
  • 2). Non-Linear Data Structure
  • Linear Data Structure gt
  • In Linear Data Structure A Sequence is followed.
  • Sequence means every data item will have an
    ancestor and a successor.
  • Example of Linear Data Structures are
  • Queue
  • Linked List
  • Arrays
  • Stack

http//www.computercareer.in/
3
Introduction to Data Structures
  • Non-Linear Data Structures
  • In Non-Linear Data Structures, No Sequence but
    hierarchy is followed.
  • Example of Non-Linear Data Structures are
  • Tree
  • Graph
  • Tables
  • Sets
  • Data Structures stores data of different data
    types.What is DataType?
  • A Datatype is a collection of values in which
    operations can be performed.
  • Three Types of DataType in Data Structures are
  • Primitive DataTypes
  • Abstract DataTypes (or User-Defined DataTypes)
  • Polymorphic DataTypes
  • VISIT
    OUR PROGRAMMING BLOG

http//www.computercareer.in/
4
Introduction to Data Structures
  • Primitive DataType Primitive DataTypes are
    previously defined by the Developers/Programmers
    and cannot be broken further.
  • For examples int, float, Double, char, etc.
  • Abstract DataType Abstract DataTypes are
    created by using Primitive DataTypes.
  • Here the specification of the operations are
    separated from representation of the value and
    implementation of the operation.
  • For examples Array, Structure, Constructor etc.
  • Polymorphic DataType Polymorphic DataTypes are
    independent of the value stored in the list.
  • To perform Practical Codings ,
  • DOWNLOAD TURBO C http//yamanturboc.blogspot.in/

http//www.computercareer.in/
5
Common Terms
  • Data Data are the Raw Facts and Figures. Data
    word is always plural.
  • Information Processed Data which have some
    meaningful values is called information.
  • Entity Entity is Anything which have certain
    property and Attributes.
  • Domain Domain is Set of Values which the
    Attributes can have.
  • Record Collection of Homogeneous Entities are
    Record.
  • File Collection of Homogeneous Records.
  • Key A key is used to uniquely identify the
    record. Key is of following types
  • Primary Key Primary key uniquely identifies the
    identify a record in database table.
  • Unique Key The Unique constraint uniquely identi
    fies each record in a database table. The Unique
    and Primary Key constraints both provide a
    guarantee for uniqueness for a column or set of
    columns. A Primary Key constraint automatically
    has a Unique constraint defined on it.
  • Candidate Key A Candidate Key is a set of one
    or more fields/columns that can identify a record
    uniquely in a table. There can be multiple
    Candidate Keys in one table. Each Candidate Key
    can work as Primary Key.

Download TURBO C
http//www.computercareer.in/
6
Common Terms and Array
  • Alternate Key A Alternate key is a key that can
    be work as a primary key. Basically it is a
    candidate key that currently is not primary key.
  • Compound Key Composite Key is a combination of
    more than one fields/columns of a table. It can
    be a Candidate key, Primary key.
  • Foreign Key A Foreign Key is A Non Key
    Attribute whose values are derived from the
    Primary Key of Another Table.
  • Let us Start Learning Data Structures from Linear
    Data Structures.
  • ARRAY -
  • Array is a Collection of data items consisting
  • Homogeneous DataType.
  • Types of Array
  • One -Dimentional
  • Two -Dimentional
  • Multi Dimentional
  • http//www.computercareer.in/

7
Array
  • How to Declare? Visit Our
    Programming Blog www.computercareer.in/blog/
  • Int a50
  • For Input and To print, We Use Loops ( for,
    while, do - while, do) .
  • Write A Program to take Input from User and Print
    the Array.
  • int a5, i
  • for( ( i 0 i lt a i i)
  • printf( Enter 5 numbers in an Array /n )
  • scanf(d, a i )
  • for( i 0 i lt a i i)

  • printf(d, a i )

  • DOWNLOAD TURBO C

  • http//www.computercareer.in/

8
Array Program s
  • Write A Program to Perform Linear Search in An
    Array? Download Our TURBO C
  • Write A Program to Perform Selection Sort in An
    Array? to Perform Codings.
  • Write A Program to Perform Binary Search in An
    Array?
  • Write A Program to Perform Insertion Sort in An
    Array?
  • Write A Program to Perform Bubble Sort in An
    Array?
  • Write A Program to Illustrate Address
    Manipulation in 2-D Array?
  • To Learn Array, It is Necessary to Learn ALL
    THESE ARRAY PROGRAMS on Tips. Use Our Turbo C.
  • include(iostream.hgt
  • includeltconio.hgt
  • int Lsearch(int ,int,int)int main( )
  • For more, and To Learn All the Array
    Programs,
  • Please Visit
    http//www.computercareer.in/blog

  • OR
  • Click Here

  • http//www.computercareer.in/

9
Stack and Queue
  • Stack is A Linear Data Structure in which we can
    Insert New Data Delete the existing data at a
    point called Top of the Stack. Stack always
    follow LIFO (Last in First Out) Rule.
  • Stack can be represented as Array and Linked
    List.
  • Kindly Visit http//www.computercareer.in/blog
    OR Click Here

http//www.computercareer.in/
10
Stack and Queue
  • Operations of Stack are
  • Push To Insert a new element in the stack, we
    use PUSH.
  • Pop To Delete an existing element from the
    stack, we use POP.
  • IsOverflow To check Whether Stack is full or
    not, we use IsOverflow.
  • IsUnderflow To check Whether Stack is Empty or
    not, we use IsUnderflow.
  • Peek To Access the Top of the element of the
    Stack without deleting, we use Peek.
  • We have Various Algorithms for these Operations
    to make you clear better the concept of Stack.To
    Learn those Algorithms,
  • Visit http//www.computercareer.in/blog OR
    Click Here
  • Download CTurbo Click Here

http//www.computercareer.in/
11
Applications of Stack and Queue
  • Applications of Stack Are
  • Infix to Postfix
  • Postfix to Infix
  • Infix to Prefix
  • Prefix to Infix
  • Queue
  • Queue is a Linear Data Structure in which we can
    Insert
  • and Delete items from Opposite ends.
  • There are two ends front and rear. If we are
    inserting element from front and we have to
    delete element from Rear.
  • Queue always follows FIFO (First In First Out).

http//www.computercareer.in/
12
Queue and Stack Programs
  • Types of Queues are
  • Simple Queue
    2. Circular Queue
  • Priority Queue
    4. DeQueue (Doubled-Ended Queue)
  • Write A Program to Perform Insertion and Deletion
    in Circular Queue
  • Write A Program to Perform Infix to Postfix
    Conversion in Stack
  • Write A C Program for Implementing Queue Using
    Stack.
  • Write A Program to Perform Pushing in Stack.
  • For Solutions , Visit http//www.computercareer.
    in/blog
  • We have Working Solutions of these Programs and
    We keep on adding something New to Our Blog..So
    Dont forget to check out Website Daily and Be
    Regular! )

http//www.computercareer.in/
13
Linked List
  • A Linked List is a data structure consisting of a
    group of nodes which together represent a
    sequence.
  • Types of Linked Lists
  • Singly Linked List Singly linked lists contain
    nodes which have a data field as well as
    a next field, which points to the next node in
    line of nodes.
  • Doubly Linked List In a doubly linked list,
    each node contains, besides the next-node link, a
    second link field pointing to the previous node
    in the sequence. The two links may be
    called forward(s) and backwards,
  • Circular Linked List In Circular Linked List,
    First Node contains the address of the Last Node.

http//www.computercareer.in/
14
Operations in Linked List and Programs
  • Insertion in Linked List can be done by three
    ways
  • Insertion At Beginning
  • Insertion At End
  • Insertion At Specified Position
  • Deletion in Linked List can be done by three ways
  • Deletion from Beginning
  • Deletion from End
  • Deletion from Specified Position
  • Write A Program to Insert an Element at Beginning
    in Linked List.
  • Write A Program to Delete an Element from
    Beginning in Linked List.
  • For the Solutions of there Programs,
  • Kindly Visit http//www.computercareer.in/blog
    or Click Here

http//www.computercareer.in/
15
Tree
  • A Tree is a Non-linear data structure made up of
    nodes or vertices and edges without having any
    cycle. The tree with no nodes is called
    the Null or Empty tree. A tree that is not empty
    consists of a root node and potentially many
    levels of additional nodes that form a hierarchy.
  • Binary Tree - A binary tree is one in which each
  • node has at most two descendants. A node
  • can have just one but it cant have more than
    two.
  • Insertion in Binary Search Trees
  • To insert any element in Binary Search Tree, we
    have
  • to compare with the root of node. If found
    Greater,
  • then insert at Right of root node. If found
    Smaller, then
  • Insert at left of root node.

http//www.computercareer.in/
16
Tree
  • Deletion from A Binary Tree
  • There are four possible cases that we need to
    consider
  • No node in the Tree contains specified Data.
  • Node containing the data has no children.
  • Node containing the data has exactly one child.
  • Node containing the data has two children.
  • Kindly Check Our Blog for Programs related to
    Tree Data Structure.
  • http//www.computercareer.in/blog

http//www.computercareer.in/
17
Graph
  • A Non-Linear Data Structure that consist of a set
    of nodes called Vertexes and a set of edges that
    relate the nodes to each other is called Graph.
  • Type of Graph
  • Directed Graph When Edges in a Graph have A
    Direction, the graph is called Diagraph or
    Directed Graph.
  • UnDirected Graph When Edges in a Graph has no
    direction, the graph is called UnDirected Graph.
  • Graphs can be represented as array, linked lists
    and queues.
  • Check Our blog, http//www.computercareer.in/blog

http//www.computercareer.in/
18
Thanks
Yaman Singhania

For Watching
Visit http//www.computercareer.in http//www.fa
cebook.com/Ysinghania500
Write a Comment
User Comments (0)
About PowerShow.com